code: def forward(self, h):
      h = self.layer1(h)
      h = F.elu(h)
      h = self.layer2(h)
      return h
  
imports: import os
  import torch
  import torch.nn
  import torch.nn.functional
  from dgl.nn.pytorch import GATConv
  import networkx
  from dgl import DGLGraph
  from dgl.data import citation_graph
  import time
  import numpy
label_desc: Use image node_id 2 for calling the GAT obj's underlying member method code with example usage: obj.forward(h) and returns: h